Artificial intelligence is rapidly transforming how people discover information, evaluate brands and make decisions. As AI-powered platforms become increasingly integrated into everyday searches, organisations are facing a new communications challenge: ensuring they are not only visible in AI-generated responses but also trusted.

While many organisations are familiar with Search Engine Optimisation (SEO), Generative Engine Optimisation (GEO) is emerging as the next frontier in digital communications and reputation management. GEO focuses on how AI engines find, interpret and present brands online. It focuses on ensuring that brands are cited in AI responses.

For Nigerian brands, the rise of Generative Engine Optimisation presents both a significant opportunity and a growing reputational risk.

 

What is Generative Engine Optimisation (GEO)?

Generative Engine Optimisation (GEO) refers to the practice of influencing how artificial intelligence platforms discover, interpret and present information about brands, organisations, products, services and business leaders.

Unlike traditional search engines, which provide a list of links, AI-powered platforms generate direct answers by drawing information from multiple sources including media reports, company websites, social media conversations, reviews, research publications and other publicly available content.

GEO focuses on brand visibility in AI generated responses contributing to the overall brand visibility.

However, a new research by Burson has shown that GEO visibility is no longer enough.

 

 

The Credibility Paradox by Burson:

A recent Burson study, “The Credibility Paradox”, highlights a critical insight for brands navigating the age of AI: visibility does not automatically translate into believability.

The research found significant variations in how audiences perceive and trust AI-generated responses about companies and brands. While many organisations are focused on appearing in AI-generated answers, the study suggests that a more important question is whether stakeholders actually believe the information they receive.

This finding fundamentally changes how organisations should approach Generative Engine Optimisation. Beyond increasing visibility in AI-generated responses, the goal is to build a strong reputation ecosystem that ensures those responses are credible, trustworthy and persuasive.

 

What Burson’s Research Reveals About GEO

One of the most significant findings from Burson’s research is that AI rewards evidence more than positioning.

Claims related to innovation, products and workplace culture consistently performed better when they were supported by independent validation such as media coverage, customer reviews and third-party commentary. This finding reinforces that for an effective Generative Engine Optimisation, credibility matters more than promotion.

The research also revealed that workplace-related narratives are among the most believable across audiences. This reveals that employee experiences, workplace culture and employer branding are becoming increasingly important contributors to reputation in the age of AI.

Conversely, leadership-related claims ranked among the least believable across industries, highlighting the need for organisations to support executive narratives with measurable results, strong governance and demonstrable impact.

Why GEO Matters for Nigerian Brands

The implications of Generative Engine Optimisation are particularly significant for Nigerian organisations.

Across sectors such as banking, telecommunications, fintech, energy, manufacturing and consumer goods, competition for attention and trust continues to intensify. At the same time, stakeholders are becoming more informed and increasingly reliant on digital sources when evaluating organisations.

As AI-powered platforms become more widely adopted, Nigerian brands will need to understand how they are being represented within AI-generated responses and whether those responses align with their desired reputation.

Some questions organisations should begin asking include “what does AI say about our organisation? Are our key messages reflected accurately? Are customers, investors and employees likely to find those responses credible?

Five GEO Strategies Nigerian Brands Should Adopt

  1. Build a Strong Reputation Ecosystem:
    Organisations should invest in a mix of earned media, owned content, thought leadership, stakeholder engagement and third-party endorsements to ensure AI platforms generate accurate, trustworthy and persuasive narratives about their brands.
  2. Prioritise Independent Validation:
    AI platforms place significant weight on externally validated information. Media coverage, industry awards, customer reviews and analyst reports can strengthen credibility.
  3. Strengthen Workplace Reputation: The Burson research highlights workplace reputation as one of the strongest credibility drivers. Organisations should actively communicate employee success stories, workplace culture initiatives and employer brand achievements.
  4. Monitor AI-Generated Brand Narratives: Regularly assess how AI platforms describe your organisation, leadership team, products and services. Understanding these narratives is a critical component of Generative Engine Optimisation.
  5. Develop Consistent Communications: Ensure that corporate messaging is aligned across websites, social media platforms, media engagements, executive communications and stakeholder communications. Consistency improves both reputation and AI interpretation.

As AI-powered search continues to grow, organisations will need to focus on more than visibility metrics. They will need to ensure that every digital touchpoint contributes to a credible and trustworthy reputation ecosystem.

For communications professionals, marketers and business leaders, GEO presents a new opportunity to strengthen trust, shape perceptions and create long-term competitive advantage.